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Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.


ABSTRACT: BACKGROUND:Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~?7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so far, airway microbiotas have been consistently neglected in the study of asthma phenotypes. Here, we couple extensive clinical information with 16S rRNA high-throughput sequencing to characterize the microbiota of the nasal cavity in 163 children and adolescents clustered into different asthma phenotypes. RESULTS:Our clustering analyses identified three statistically distinct phenotypes of pediatric asthma. Four core OTUs of the pathogenic genera Moraxella, Staphylococcus, Streptococcus, and Haemophilus were present in at least 95% of the studied nasal microbiotas. Phyla (Proteobacteria, Actinobacteria, and Bacteroidetes) and genera (Moraxella, Corynebacterium, Dolosigranulum, and Prevotella) abundances, community composition, and structure varied significantly (0.05?

SUBMITTER: Perez-Losada M 

PROVIDER: S-EPMC6172741 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Pediatric asthma comprises different phenotypic clusters with unique nasal microbiotas.

Pérez-Losada Marcos M   Authelet Kayla J KJ   Hoptay Claire E CE   Kwak Christine C   Crandall Keith A KA   Freishtat Robert J RJ  

Microbiome 20181004 1


<h4>Background</h4>Pediatric asthma is the most common chronic childhood disease in the USA, currently affecting ~ 7 million children. This heterogeneous syndrome is thought to encompass various disease phenotypes of clinically observable characteristics, which can be statistically identified by applying clustering approaches to patient clinical information. Extensive evidence has shown that the airway microbiome impacts both clinical heterogeneity and pathogenesis in pediatric asthma. Yet, so f  ...[more]

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